Informatique, Télécom, Internet
Adresse : Route de Wilaya, Lot n° 37/4, Dar El Beida, –, Alger, Algérie


Informatique, Télécom, Internet Adresse : Route de Wilaya, Lot n° 37/4, Dar El Beida, –, Alger, Algérie

Big Data Full Stack Administrator

  • Lieu de travail Alger, Algérie
  • Date d'expiration 12 Juillet
  • Niveau de poste Confirmé / Expérimenté
  • Secteur d'activité Informatique, Télécom, Internet
  • Niveau d'étude (diplome) Master 2, Ingéniorat, Bac + 5
  • Nombre de postes 01
  • Type de contrat CDI

Définition du poste :

Bigdata full stack Administrator is the lies at the intersection of DevOps, data engineering, and Bigdata full stack. It hinges on the communication between data scientists and the production team. Built on DevOps existing concept, using solutions that are designed to reduce waste, facilitate automation, and extract richer and consistent insights with Bigdata full stack. He must often work closely with data science team to achieve the ultimate goal of the company running a beneficial Bigdata full stack technologies. provide additional centralized support and expertise to Data teams across the enterprise Also work on seeing on how to optimize and maintain the Bigdata full stack production, since he will be more technology development Engineering focused with more object-oriented programming experience

Tâches Principales:

  • Bigdata full stack Operations & Administration  :

-          Engaged with Data Science, Data Management, and Business teams to understand challenges around deploying, maintaining, and monitoring ML models

-          Work with the Data Science team and business unit to define an enterprise strategy, vision, and framework for ML Ops

-          Collaborate with and support the business as they stand up ML Ops practices

-          Work with Solutions Team engineers to optimize model runtime performance

  • Bigdata full stack production responsibility (Deployment, testing, validation, Monitoring and Support):

-          Standardizing the deployment process so that the testing and integration at different points become smooth

-          Post deployment support & testing and validation with different stakeholders

-          Onboard new customers, coordinate deployment activities and prioritize the portfolio

  •             Customer / Collaboration:

-          Inform DS infrastructure Product Owners by providing feedback that drives prioritization for new features in enterprise DS tooling

Collaborate with and influence key stakeholders and customers to embrace a product mindset and drive business outcomes.

-          Act as the liaison between Tech,DM, DS, and business teams to ensure roles & responsibilities are defined, timelines are understood and deployments are effectively coordinated

-          Track financial impact of deployed models and facilitate knowledge sharing across models, teams, and the enterprise

Contraintes du poste/Conditions Spécifiques:

·         Drive – you work smart and hard to succeed

·         Communication Skills – you can communicate to a wide variety of audiences adapting your technique as appropriate in a strategic manner

·         Data Science Passion – you have a passion for making things better through data science.

·         Leadership – You are a passionate leader who can bring the enterprise together, gain cross team alignment and deliver results.

·         Customer Empathy – ability to try on the experiences of customers and stakeholders – especially those with conflicting viewpoints.

·         Problem solving – you can solve difficult problems efficiently with appropriate methodologies

·         Integrity – you build and maintain trust with your colleagues, stakeholders, partners, and leaders

·         Knowledge of MLOps, DS infrastructure, and organizational challenges & obstacles as it relates to scaling and supporting DS solutions (hands on experience would be a plus).

·         Demonstrated ability to think broadly across multiple good viewpoints

·         Excellent communication, analytical, interpersonal, organizational and team building skills, business judgement, and proven expertise in directing the efforts of agile teams

·         Experience with influencing product strategy at a senior level and a strong execution track record

Conditions d'accès:

Diplomas & Training:

 Engineer in Computer Science or Electronics or Telecom (BAC +5)


7 years in information systems (minimum 02 years BigData)


·         Arabic: read, written, spoken

·          French: read, written, spoken

·          English: read, written, spoken

500 à 999 personnes


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